Introduction to Data Science
by Jeffrey Stanton
Number of pages: 196
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
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by Patricia Harpring - Getty Research Institute
This book is a guide to building controlled vocabulary tools, cataloging and indexing cultural materials with terms and names from controlled vocabularies, and using vocabularies in search engines and databases to enhance discovery and retrieval.
by Daniel Keim, et al. - Eurographics Association
The aim is to create a research roadmap that outlines the current state of visual analytics across many disciplines, and to describe the next steps to foster a strong visual analytics community, thus enabling the development of advanced applications.
by Jose E. Labra Gayo, et al. - Morgan & Claypool
RDF and Linked Data have broad applicability across many fields. Requirements for detecting bad data differ across tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use.
by Ciza Thomas (ed.) - InTech
This book provides researchers in the field of ontology and information science an opportunity to share their results. It also includes the design aspects of domain ontologies considering the architecture, development strategy and selection of tools.